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Active Shape Model-based Object Tracking using Depth Sensor  

Jung, Hun Jo (한서대학교 컴퓨터정보공학과)
Lee, Dong Eun (LG CNS 정보기술연구원)
Publication Information
Journal of Korea Society of Digital Industry and Information Management / v.9, no.1, 2013 , pp. 141-150 More about this Journal
Abstract
This study proposes technology using Active Shape Model to track the object separating it by depth-sensors. Unlike the common visual camera, the depth-sensor is not affected by the intensity of illumination, and therefore a more robust object can be extracted. The proposed algorithm removes the horizontal component from the information of the initial depth map and separates the object using the vertical component. In addition, it is also a more efficient morphology, and labeling to perform image correction and object extraction. By applying Active Shape Model to the information of an extracted object, it can track the object more robustly. Active Shape Model has a robust feature-to-object occlusion phenomenon. In comparison to visual camera-based object tracking algorithms, the proposed technology, using the existing depth of the sensor, is more efficient and robust at object tracking. Experimental results, show that the proposed ASM-based algorithm using depth sensor can robustly track objects in real-time.
Keywords
Depth Sensor; Active Shape Model; Object Tracking; Kinect Sensor; 3D Sensor;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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